• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.571-582
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• 2018

Recently, development of deep learning has shown better image classification result than human. According to recent research, a hidden layer of deep learning is deeper, and a preservation of extracted features shows good results. However, in the case of general images, the extracted features are clear and easy to sort. This study aims to classify plant leaf images. This plant leaf image has high similarity in each image. Since plant leaf images have high similarity not only between images of different species but also within the same species, classification accuracy is not increased by simply extending the hidden layer or connecting the layers. Therefore, in this paper, we tried to improve the hidden layer of the algorithm called DenseNet which shows the recent excellent classification results, and compare the results of several different modified layers. The proposed method makes it possible to classify plant leaf images collected in a natural environment more easily and accurately than conventional methods. This results in good classification of plant leaf image data including unnecessary noise obtained in a natural environment.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.562-566
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• 2009

In this paper, we present a novel system to categorize web image search results using emotional concepts and to browse the results more conveniently and easily. The proposed system can categorize search results into 8 emotional categories based on emotion vector, which obtained by color and pattern features. Here, we use Kobayashi’s emotional categories: {romantic, natural, casual, elegant, chic, classic, dandy and modern}. With search results for a given query, the proposed system can provide categorized images for each emotional category. With 1,000 Yahoo! search images, we compared the proposed method with Yahoo! image search engine in respect of satisfaction, efficiency, convenience and relevance with a user study. Our experimental results show the effectiveness of the proposed method.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.27-33
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• 2009

We propose an efficient method for single image motion deblurring using edge prediction. Previous methods for motion deblurring from a single image have been based on total variation or natural image statistics. In contrast, our method predicts sharp edges by applying bilateral and shock filters and manipulating image gradients directly, and estimates motion blur using the predicted sharp edges. Sharp edge prediction makes our method possible to deblur efficiently with less computation. Results show that our method can effectively and efficiently restore images degraded by large complex motion blur.

• The Research Journal of the Costume Culture
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• v.11 no.6
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• pp.852-866
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• 2003

The purpose of this study is to analyze how the women's fashion with the androgynous image(fashion item, adornment) which has appeared on our specialized fashion magazine from 1986 through 2000. As a result of this study I drew the following conclusion. First, masculine image led the market in the first stage of mid 1980 in a men's wear oriented trend that the woman wear masculine style jacket, pants and blouse. In hair style, the short hair of the masculine image was used habitually but the make-up was tend to be made heavily. The ambivalence of the sex was also showed up by expressing the feminine image on the masculine image using the accessories like necklace, earing and bracelet. Second, unlike the first stage, it showed that more and more feminine image was accepted in the second stage of early 1990. The jacket, blouse and pants were rooted as the basic item in women's fashion. The feminine style of long hair and natural make-up with the androgynous image were increased. Third, in the third stage of the late 1990, the fashion items to the comfortable dress of light weight as the life style pursuits the activity and convenience. The feminine image were appeared naturally with a long hair style and natural make-up with the androgynous image. The remarkable features in the fashion accessories were that boots and low shoes were preferred by the increase of the masculine image shoes and the sneakers were seen a lot by the effect of the sports boom.

• ETRI Journal
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• v.20 no.3
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• pp.272-283
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• 1998

In this paper, we propose efficient content-based image retrieval methods using the automatic extraction of the low-level visual features as image content. Two new feature extraction methods are presented. The first one os an advanced color feature extraction derived from the modification of Stricker's method. The second one is a texture feature extraction using some DCT coefficients which represent some dominant directions and gray level variations of the image. In the experiment with an image database of 200 natural images, the proposed methods show higher performance than other methods. They can be combined into an efficient hierarchical retrieval method.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.32A no.4
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• pp.65-74
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• 1995

In this paper, we propose a new technique to segment the moving target image from the natural background. This system as based on the optical BPEJTC for both detecting the moving target and automatically extracting the target image from the background by gradually eliminating the background image through the repeated correlation processes. Some computer simulation and experimental results show that the proposed system can effectively segment the moving car image from the fixed background, and that this system can be used for a fast moving target segmentation system.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.1
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• pp.75-88
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• 2014

This research aims to introduce the external type of natural funeral landscape facilities and to examine the effect of its visual image factor on the preference for them. For this purpose, a survey was conducted among 549 persons including 224 experts on the funeral services. The majority of respondents in this research live in the Seoul, Daejeon, Jeonju, and Busan areas. Burial place facilities and memorial facilities among natural funeral landscape facilities for the study are selected and categorized into five types, respectively. Of these, the funeral area type includes a woody style, a garden style, a flower style, a grass style and a scattered ashes style. As a result, firstly, from the factor analysis, three image factors are extracted such as a physical factor, an external-appearing factor and a symmetrical factor from the burial place facilities. Secondly, the most flavored among 5 burial palace facilities is woody style, followed a flower style, a garde style, a grass style and a scattered ashes style. Third, we draw a perception map based on the average values of each image factors. Forth, we find some significant difference in the evaluation of the image factors of burial place facilities by characteristics of the respondents. The gender, age, the education level and the facilities type reveal the significant difference in a physical factor. Moreover, we find a significant difference in the level of an external-appearing factor according to a gender, religion, a group members, and in the level of a symmetrical factor according to the gender, the education level, and the facilities type. Fifth, we execute a regression analysis in order to analyze the effect of the image factors on its preference for the burial place and memorial facilities. We find a positive effect of a physical, an external appearing and a symmetrical factor on its preference. Finally, we examine a moderating effect of a group member between the image factors and its preference. We find a significant positive moderating effect of an external-appearing factor for a garden style in the case of the burial place facilities. In this study are suggests that fix the problem of natural funeral landscape facilities typical naming contribute to the development of the early beginning natural funeral landscape facilities and study on development of natural funeral landscape facilities suitable for domestic. In addition, this study has shown that having rational guideline when people use natural funeral that develop a funeral culture through preference natural funeral standard visual image analysis such as preserve the traditional funeral philosophy and a new aesthetic needs.

• Korean Journal of Remote Sensing
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• v.27 no.5
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• pp.587-599
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• 2011

As one measure of image interpretability, NIIRS(National Imagery Interpretability Rating Scale) has been used. Unlike MTF(Modulation Transfer Function), SNR(Signal to Noise Ratio), and GSD(Ground Sampling Distance), NIIRS can describe the quality of overall image at user's perspective. NIIRS is observed with human observation directly or estimated by edge analysis. For edge analysis specially manufactured artificial target is used commonly. This target, formed with a tarp of black and white patterns, is deployed on the ground and imaged by the satellite. Due to this, the artificial target-based method needs a big expense and can not be performed often. In this paper, we propose a new edge analysis method that enables to estimate NIIRS accurately. In this method, natural targets available in the image are used and characteristics of the target are considered. For assessment of the algorithm, various experiments were carried out. The results showed that our algorithm can be used as an alternative to the artificial target-based method.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.255-260
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• 2019

This study is about an efficient synthesis of $360^{\circ}$ video and 3D graphics. First, the video image filmed by a binocular integral type $360^{\circ}$ camera was stitched, and location values of the camera and objects were extracted. And the data of extracted location values were moved to the 3D program to create 3D objects, and the methods for natural compositing was researched. As a result, as the method for natural compositing of $360^{\circ}$ video image and 3D graphics, rendering factors and rendering method were derived. First, as for rendering factors, there were 3D objects' location and quality of material, lighting and shadow. Second, as for rendering method, actual video based rendering method's necessity was found. Providing the method for natural compositing of $360^{\circ}$ video image and 3D graphics through this study process and results is expected to be helpful for research and production of $360^{\circ}$ video image and VR video contents.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1303-1322
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• 2020

Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.